
Niamh O'Brien

Jack Mason
Learn how modern enterprises are shifting from traditional data warehouses to a more flexible and cost-effective data lake approach.
Understand why high-performance data pipelines are critical for achieving query-ready data for AI and analytics.
Discover how automating data movement reduces TCO and operational overhead
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Enterprise data architectures are evolving, but many organizations still struggle with costly, rigid data warehouses that limit innovation. Without the right data foundation — one that ensures compliance, scalability, and query-ready data — businesses risk falling behind. This session explores how a universal storage layer, combined with high-performance data pipelines, can drive better business outcomes by reducing complexity, lowering total cost of ownership (TCO), and accelerating AI and analytics initiatives.
Learn how modern enterprises are shifting from traditional data warehouses to a more flexible and cost-effective data lake approach.
Understand why high-performance data pipelines are critical for achieving query-ready data for AI and analytics.
Discover how automating data movement reduces TCO and operational overhead

Niamh O'Brien

Jack Mason

Niamh O'Brien

Jack Mason
Enterprise data architectures are evolving, but many organizations still struggle with costly, rigid data warehouses that limit innovation. Without the right data foundation — one that ensures compliance, scalability, and query-ready data — businesses risk falling behind. This session explores how a universal storage layer, combined with high-performance data pipelines, can drive better business outcomes by reducing complexity, lowering total cost of ownership (TCO), and accelerating AI and analytics initiatives.